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J. López-Santiago

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Open access Jul 2026

Unsupervised sifting of XMM-Newton EPIC observations using Variational Autoencoders

Finding specific events of interest within the XMM-Newton Science Archive (XSA) is a significant challenge due to the sheer volume of data, which contains over 300,000 source light curves. While the mission provides standardized multi-band products, the vast majority of these time series remain unexplored, and it is...

M. A. Vázquez, Jesús Cid-Sueiro, J. López-Santiago · 0 citations

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